[HTML][HTML] Network traffic classification: Techniques, datasets, and challenges

A Azab, M Khasawneh, S Alrabaee, KKR Choo… - Digital Communications …, 2024 - Elsevier
In network traffic classification, it is important to understand the correlation between network
traffic and its causal application, protocol, or service group, for example, in facilitating lawful …

[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey

M Abbasi, A Shahraki, A Taherkordi - Computer communications, 2021 - Elsevier
Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …

Detection of doh tunnels using time-series classification of encrypted traffic

M MontazeriShatoori, L Davidson… - 2020 IEEE Intl Conf …, 2020 - ieeexplore.ieee.org
Computer networks have fallen easy prey to cyber attacks in the ever-evolving internet
services. Domain Name System (DNS) has also not remained untouched with these …

MIMETIC: Mobile encrypted traffic classification using multimodal deep learning

G Aceto, D Ciuonzo, A Montieri, A Pescapè - Computer networks, 2019 - Elsevier
Abstract Mobile Traffic Classification (TC) has become nowadays the enabler for valuable
profiling information, other than being the workhorse for service differentiation or blocking …

TSCRNN: A novel classification scheme of encrypted traffic based on flow spatiotemporal features for efficient management of IIoT

K Lin, X Xu, H Gao - Computer Networks, 2021 - Elsevier
Abstract In the Industrial Internet of Things (IIoT) in the 5G era, the growth of smart devices
will generate a large amount of data traffic, bringing a huge challenge of network traffic …

A survey of techniques for mobile service encrypted traffic classification using deep learning

P Wang, X Chen, F Ye, Z Sun - Ieee Access, 2019 - ieeexplore.ieee.org
The rapid adoption of mobile devices has dramatically changed the access to various
networking services and led to the explosion of mobile service traffic. Mobile service traffic …

Seeing traffic paths: Encrypted traffic classification with path signature features

SJ Xu, GG Geng, XB **, DJ Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Although many network traffic protection methods have been developed to protect user
privacy, encrypted traffic can still reveal sensitive user information with sophisticated …

How to achieve high classification accuracy with just a few labels: A semi-supervised approach using sampled packets

S Rezaei, X Liu - arxiv preprint arxiv:1812.09761, 2018 - arxiv.org
Network traffic classification, which has numerous applications from security to billing and
network provisioning, has become a cornerstone of today's computer networks. Previous …

Large-scale mobile app identification using deep learning

S Rezaei, B Kroencke, X Liu - IEEE Access, 2019 - ieeexplore.ieee.org
Many network services and tools (eg network monitors, malware-detection systems, routing
and billing policy enforcement modules in ISPs) depend on identifying the type of traffic that …

Semi-supervised encrypted traffic classification with deep convolutional generative adversarial networks

AS Iliyasu, H Deng - Ieee Access, 2019 - ieeexplore.ieee.org
Network traffic classification serves as a building block for important tasks such as security
and quality of service management. The field has been studied for a long time, with many …